| Literature DB >> 33140646 |
Ansgar Schuffenhauer1, Nadine Schneider1, Samuel Hintermann1, Douglas Auld2, Jutta Blank1, Simona Cotesta1, Caroline Engeloch1, Nikolas Fechner1, Christoph Gaul1, Jerome Giovannoni1, Johanna Jansen3, John Joslin4, Philipp Krastel1, Eugen Lounkine2, John Manchester2, Lauren G Monovich2, Anna Paola Pelliccioli1, Manuel Schwarze1, Michael D Shultz2, Nikolaus Stiefl1, Daniel K Baeschlin1.
Abstract
This article summarizes the evolution of the screening deck at the Novartis Institutes for BioMedical Research (NIBR). Historically, the screening deck was an assembly of all available compounds. In 2015, we designed a first deck to facilitate access to diverse subsets with optimized properties. We allocated the compounds as plated subsets on a 2D grid with property based ranking in one dimension and increasing structural redundancy in the other. The learnings from the 2015 screening deck were applied to the design of a next generation in 2019. We found that using traditional leadlikeness criteria (mainly MW, clogP) reduces the hit rates of attractive chemical starting points in subset screening. Consequently, the 2019 deck relies on solubility and permeability to select preferred compounds. The 2019 design also uses NIBR's experimental assay data and inferred biological activity profiles in addition to structural diversity to define redundancy across the compound sets.Year: 2020 PMID: 33140646 DOI: 10.1021/acs.jmedchem.0c01332
Source DB: PubMed Journal: J Med Chem ISSN: 0022-2623 Impact factor: 7.446